I'd like to predict the remaining survival time with time-varying covariates using Python. I already used lifelines' CoxTimeVaryingFitter and would like to compare it to a decision tree based approach, such as Random Survival Forest. From this paper I understand, that the "normal" Random Survival Forest is not able to cope with time-varying covariates, but there are extensions to solve that. I could not find any solutions implemented in Python. Have I missed something? I'd also appreciate advice for other modules that can cope with time-varying covariates.
Decision Tree Based Survival Analysis with time-varying covariates in Python
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